https://github.com/visvav/rag-gemini-implementation

A lightweight RAG-based Question Answering System using Sentence-Transformers for semantic retrieval and Google Gemini for natural language generation
https://github.com/visvav/rag-gemini-implementation

Last synced: 8 months ago
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A lightweight RAG-based Question Answering System using Sentence-Transformers for semantic retrieval and Google Gemini for natural language generation

• Host: GitHub
• URL: https://github.com/visvav/rag-gemini-implementation
• Owner: VisvaV
• Created: 2025-05-13T10:15:42.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-05-13T10:33:51.000Z (about 1 year ago)
• Last Synced: 2025-05-21T15:03:41.943Z (about 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 75.2 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# RAG-Based Q&A System with Gemini and Sentence-Transformers

# Feautres

- Input any user query related to your dataset

- Retrieve top relevant chunks using cosine similarity

- Generate contextual responses using Gemini

- Can be used as a chatbot, FAQ assistant, or search helper